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A Predictive Model for Estimating the TBM Penetration Rate Based on Hybrid ICA-ANN and DEA-AHP Algorithms
A Predictive Model for Estimating the TBM Penetration Rate Based on Hybrid ICA-ANN and DEA-AHP Algorithms
Mosleh Eftekhari (a) & Nasrollah Eftekhari (b)
(a) Department of Mining Engineering, Faculty of Engineering, Tarbiat Modares University, Jalal AleAhmad, Nasr Street, 14115-14, Tehran, Iran
(b) Faculty of Technology and Mining, Yasouj University, Choram, Iran
Geotechnical and Geological Engineering (2022)
https://link.springer.com/article/10.1007/s10706-022-02086-w
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https://link.springer.com/article/10.1007/s10706-022-02086-w
A Predictive Model for Estimating the TBM Penetration Rate Based on Hybrid ICA-ANN and DEA-AHP Algorithms
link.springer.comGeotechnical and Geological Engineering - Predicting the penetration rate of tunnel boring machine (TBM) is a complex and challenging task that plays a crucial role in the schedule planning and...